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Enregistrement W4386216078 · doi:10.3389/fnut.2023.1249873

Editorial: Reducing consumption of animal products

2023· editorial· en· W4386216078 sur OpenAlexaboutno aff
Christopher Bryant, Christopher J. Hopwood, Jared Piazza

Notice bibliographique

RevueFrontiers in Nutrition · 2023
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueAgriculture Sustainability and Environmental Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConsumption (sociology)Computer scienceRisk analysis (engineering)Business

Résumé

récupéré en direct d'OpenAlex

While these institutions have an important role to play, they are ultimately beholden to individuals: generally, governments cannot implement policies without the support of voters, and companies cannot reshape their offerings without buy-in from consumers. Therefore, research into the public's attitudes about animal-product reduction and alternative proteins is a vital field of study. This Research Topic called upon psychologists, behavioural scientists, and the broader scientific community to investigate the psychology of meat reduction, design and test interventions, and recommend ways forward to reduce the consumption of animal products. The resulting Research Topic contains over a dozen high-quality scientific studies covering a range of topics including vegetarian and vegan identity, moral psychology, behaviour change, alternative proteins, health outcomes, and political science. All of these papers contribute to our understanding of relevant issues, which, in turn, can help to advance a more sustainable food system.On vegetarian identity and moral psychology, behavioural scientists in Belgium provided an identity-based motivational account of resistance to veg*n advocacy. They theorised that veg*n (i.e., vegetarian and/or vegan) advocacy can threaten the moral and meat-eating identities of omnivores, which often causes them to engage in motivated reasoning to justify their consumption. They argue, however, that this apparent resistance often masks privately held beliefs that align with veg*n attitudes, and can precede later behavioural change 13 . Scientists in Serbia found that individual and group affirmations of personally or collectively important values -for example, perceiving one's group as valuing democracy, trust, social connectedness and solidarity in society -increased openness to meat reduction, including openness to cultured meat 14 . Likewise, psychologists in France showed how a perceived mismatch between an individual's own meat reduction and that of their group can motivate individuals to engage in behaviours (e.g., veg*n advocacy) aimed at positively shifting group norms 15 .Meanwhile, psychologists in the UK demonstrated a 'halo effect' occurring for participants who were given positive environmental information about a cheese product. Relative to a no-environmental-information control condition, these individuals tended to infer that the environmentally-friendly product entailed higher animal welfare (their dairy cows treated better) -despite no information being given about the latter 16 . As a result of this spreading positivity, they were more likely to endorse the product.On behavioural change, psychologists in the Netherlands employed a reasoned action approach to investigate the attitudes that predict an intention to follow a vegetarian or vegan diet. They found that, in the Netherlands and the USA, instrumental and experiential attitudes (e.g., perceptions of dietary necessity and enjoyment, respectively) predicted dietary change intent. Additionally, in the Netherlands, descriptive norms about other people's intent to reduce their animal-product consumption predicted dietary change intent 17 .Economists in the Netherlands proposed that, with regard to animal products, dietary consumer groups can be modelled on a continuum. They investigated relative differences between meat abstainers, committed meat reducers, and avid meat eaters. They found that, compared to meat reducers, meat abstainers had more positive attitudes towards plant-based products and alternatives, such as tofu, veggie burgers, pulses and mushrooms. In comparison with avid meat eaters, committed meat reducers had a preference for non-meat animal proteins, such as eggs and cheese, and their diets were motivated more by environmental concerns and animal welfare. 18 Compared to both other groups, avid meat eaters tended to be male and preferred to eat animal products over plant-based products.Psychologists in Canada investigated the role of autonomous motivation -pursuing goals because one wants to, rather than has to -in maintaining a meat-free diet. In a longitudinal study of individuals transitioning to a veg*n diet, the researchers found no directional effect of autonomous motivation on dietary goal progress or goal facilitating behaviours. Nonetheless, goal progress within the study was related to subsequent reports of autonomous motivation suggesting that progress towards a veg*n diet may help build competence around meat-free eating 19 .A team led by psychologists in the UK followed Veganuary participants -meat eaters practising a vegan diet for a month. They found that those who engaged with the pledge and reduced their meat consumption tended to develop stronger disgust reactions to meat afterwards, supporting the view that increased meat disgust follows (rather than precedes) meat reduction 20 . This demonstrates how meat avoidance -pursued through a pledge -can promote meat disgust and, possibly, spearhead future reduction.On alternative proteins, marketing researchers in China demonstrated that increased intensity of social media marketing of plant-based meat can increase purchase intentions by influencing cognitive fluency, which broadens consumers' imaginations and reduces their perception of risk 21 . Meanwhile, food and marketing scientists from across Europe investigated the impact of giving consumers health-related information for plant-based products, such as egg-free pasta, before or after tasting. They found that giving health information before tasting -rather than after or without -was associated with higher purchase intentions and stable taste perceptions across three phases of the experiment 22 .Further, a research team spanning Germany, the UK, and the USA investigated consumer perceptions of animal-free dairy from precision fermentation. In focus groups of potential early adopters from the United States, Germany, and Singapore, animal welfare considerations were among the most convincing, while concerns about consumer health, process safety and "messing with nature" were also shared. The researchers observed a cautious openness to animal-free dairy -an overall promising result for stakeholders investing in this emerging market. 23 On political science, a researcher in the USA investigated the impact of emphasising the environmental or animal rights case for meat reduction on simulated election performance. They found that, while the environmental case for meat reduction provoked a voter backlash, especially among Republicans, there was no such backlash for candidates who focused on farmed animal rights. In fact, candidates who demonstrated a personal concern for farmed animals received substantial boosts in voter support 24 .On health outcomes, medical researchers in China demonstrated that adherence to healthy plant-based diets was associated with better body composition in children aged 6-9. In particular, greater adherence was associated with lower abdominal obesity risk in girls, and stronger handgrip strength in boys 25 .While environmental scientists continue to stress the importance of a shift away from industrially-farmed animal products, and food scientists develop ever-higher-quality alternatives, the social and psychological dimensions of consumer attitudes and behaviour continue to present a challenge. All of the contributions in this Research Topic can help improve our understanding of the nexus of factors that impact on consumer decisions and individuals' choices and, ultimately, help to advance a more just and sustainable food system.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,029
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,094

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,029
Méta-épidémiologie (sens strict)0,0070,002
Méta-épidémiologie (sens large)0,0050,005
Bibliométrie0,0040,002
Études des sciences et des technologies0,0040,004
Communication savante0,0080,006
Science ouverte0,0070,001
Intégrité de la recherche0,0240,026
Charge utile insuffisante (le modèle a refusé de juger)0,0280,021

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,235
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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